Identification of Hub Genes in Pancreatic Ductal Adenocarcinoma Using Bioinformatics Analysis

被引：0
作者：
Wang, Congcong [1 ,2 ]
Guo, Jianping [2 ,3 ]
Zhao, Xiaoyang [4 ]
Jia, Jia [4 ]
Xu, Wenting [4 ]
Wan, Peng [5 ]
Sun, Changgang [6 ,7 ]
机构：
[1] Shandong Univ, Clin Med Coll, Cheeloo Coll Med, Jinan 250100, Shandong, Peoples R China
[2] Zibo Maternal & Children Hosp, Dept Oncol, Zibo 255000, Shandong, Peoples R China
[3] Shandong Univ, Cheeloo Coll Med, Shandong Qianfoshan Hosp, Jinan 250014, Shandong, Peoples R China
[4] 4th Peoples Hosp Zibo, Dept Oncol Surg, Zibo 255000, Shandong, Peoples R China
[5] Zibo Cent Hosp, Dept Gastroenterol, Zibo 255000, Shandong, Peoples R China
[6] Weifang Tradit Chinese Hosp, Dept Oncol, Weifang 261053, Shandong, Peoples R China
[7] Weifang Med Univ, Dept Oncol, Affiliated Hosp, Weifang 261053, Shandong, Peoples R China
来源：
IRANIAN JOURNAL OF PUBLIC HEALTH | 2021年 / 50卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Bioinformatics analysis; Differently expressed genes; Hub genes; Pancreatic ductal adenocarcinoma; BINDING PROTEIN ANILLIN; CEP55; CARCINOMA; DATABASE; ANLN;
D O I：
暂无
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
Background: To address the biomarkers that correlated with the prognosis of patients with PDCA using bio-informatics analysis. Methods: The raw data of genes were obtained from the Gene Expression Omnibus. We screened differently expressed genes (DEGs) by Rstudio. Database for Annotation,Visualization and Intergrated Discovery was used to investigate their biological function by Gene Ontology(GO) and Kyoto Encyclopedia of Genes (KEGG) analysis. Protein-protein interaction of these DEGs were analyzed based on the Search Tool for the Retrieval of Interacting Genes database (STRING) and visualized by Cytoscape. Genes calculated by Cyto-Hubba with degree >10 were identified as hub genes. Then, the identified hub genes were verified by UAL-CAN online analysis tool to evaluate the prognostic value in PDCA. Results: Three expression profiles (GSE15471, GSE16515 and GSE32676) were downloaded from GEO database. The three sets of DEGs exhibited an intersection consisting of 223 genes (214 upregulated DEGs and 9 downregulated DEGs). GO analysis showed that the 223 DEGs were significantly enriched in extracellular exosome, plasma membrane and extracellular space. ECM-receptor interaction, PI3K-Akt signaling pathway and Focal adhesion were the most significantly enriched pathway according to KEGG analysis. By combining the results of Cytohubba, 30 hub genes with a high degree of connectivity were picked out. Finally, we candidated 3 biomarkers by UALCAN online survival analysis, including CEP55, ANLN and PRC1. Conclusion: we identified CEP55, ANLN and PRC1 may be the potential biomarkers and therapeutic targets of PDCA, which used for prognostic assessment and scheme selection.
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页码：2238 / 2245
页数：8
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